Souha SALIBA SAADE

Lecturer

School of Midwifery – Chargé de Cours

Faculty of Medicine – Chargé (e) d’enseignement - Chargé(e) d’enseignement

Institute of Physiotherapy – Chargé de Cours

+961 (1) 421 000 souha.saliba1@usj.edu.lb

Full-time physician at Hôtel-Dieu de France Hospital in Beirut, specializing in Pediatric and Prenatal Imaging.Coordinator of medical student internships in the Radiology Department. Lecturer at Saint Joseph University (Faculty of Medicine and the Institute of Physiotherapy)

Education

Degree	University	Country	Year
DU d'education en sciences de la sante	Saint Joseph University of Beyrouth	Lebanon	2024
Advanced Healthcare Training Solutions	Saint Joseph University of Beyrouth	Lebanon	2024
Master in Public Health	Saint Joseph University of Beyrouth	Lebanon	2019
Gynecologic and Obstetric Ultrasound	Université Pierre et Marie Curie (Paris VI)	France	2017
Diplome de formation medicale spécialisée	Université libre de Bruxelles (ULB)	Belgium	2016
Radiology Specialist	Saint Joseph University of Beyrouth	Lebanon	2015
Diplôme de formation médicale spécialisée	Université Pierre et Marie Curie (Paris VI)	France	2015
General Medicine	Saint Joseph University of Beyrouth	Lebanon	2010

Areas of expertise

Medecine and Health

Research themes

Imagerie placentaire et prénataleImagerie pédiatrique

Publications and communications

Variable prenatal presentation of Pfeiffer syndrome: Suggested aids to prenatal sonographic diagnosis". https://obgyn.onlinelibrary.wiley.com/doi/pdf/10.1002/pd.5231"Heterogeneous colonic content: A prenatal sonographic manifestation of lysinuric protein intolerance". https://doi.org/10.1002/ccr3.2780“Raine syndrome: Report of a novel mutation review of the different antenatal imaging modalities used to diagnose this disease” Prenat Diagn.2022 May42(5):589-600. doi:10.1002/pd.6138. Epub 2022 Apr 14." Radiomics-based prediction of FIGO grade for placenta accreta spectrum". Bartels HC, etal. Eur Radiol Exp. 2023 Sep 20;7(1):54. doi: 10.1186/s41747-023-00369-2. PMID: 37726591" Radiomic study of antenatal prediction of severe placenta accreta spectrum from MRI".Bartels HC, etal. Br J Radiol. 2024 Nov 1;97(1163):1833-1842. doi: 10.1093/bjr/tqae164. PMID: 39152998